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Criterion
Paper illustration for Change Analysis.
Operations
Change Analysis
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Purposedifferent
For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably.SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.
Complexitydifferent
MediumHighHighHigh
Timedifferent
45-120 min1-6 WochenMehrere Wochen bis MonatePreparation, scenario analysis, and findings review; effort depends on scope
Participantsdifferent
2-64-102-10Architecture experts and stakeholders for scenarios and weighting
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Change Matrix, Cause Hypotheses, Validation Questions, Action List8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation ReportDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternatives
Tagsno overlap
ChangeRoot causeTroubleshootingComparison
QualityProblem solvingRoot cause
OntologyMethodologyReuseSemanticEngineering
ArchitectureChangeAnalysisComparisonQuality
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